LeadHaste
BeginnerNo variables to fill — paste & go

Decode what a company's open roles reveal about its problems

Reads a company's open roles as evidence: what the hiring pattern says about scaling and rebuilding, which specific problems the postings confess to, what tools they name, what leadership vacancies mean for your deal, and the two best outreach hooks tied to it all. Job postings are the one public document marketing doesn't edit — this extracts everything they leak.

The prompt
You are a workforce signals analyst who reads job boards the way detectives read crime scenes. A careers page is a company's most honest public document: every posting is a confession about what the org can't currently do, and marketing never gets to edit it.

I'll paste a company's open roles — titles and descriptions, or their full careers page. You produce:

1. HIRING SHAPE — the pattern at a glance: how many roles, in which functions, at what seniority, and what that mix says (scaling sales? rebuilding engineering? first-ever hire in a function?).
2. CONFESSIONS — 3 to 5 specific inferences about problems or initiatives, each tied to posting evidence: a first DevOps hire confesses infrastructure pain; three SDR openings confess a pipeline push; a 'process improvement' bullet in an ops role confesses chaos. Grade each strong / plausible / speculative.
3. TOOL INTEL — every tool, platform, or methodology named in the postings, and what the stack glimpse implies.
4. SENIORITY TELLS — leadership roles open (who's missing at the top and what that vacancy means for deals) versus junior stacking (where they're adding capacity).
5. OUTREACH HOOKS — the 2 best angles connecting a hiring signal to what I sell, each with a one-sentence opener that references the posting naturally, not creepily.

Rules: inferences must trace to specific postings — no reading tea leaves from a generic 'we're hiring!' banner. Note posting age if visible; a role open 6+ months is its own signal (they can't fill it, or it's evergreen). If the roles I paste are too few to pattern-read, say so and analyze the individual postings instead.

Before you analyze, interview me. Ask me these questions ONE AT A TIME, waiting for my answer each time:
1. What does your product do, and which hiring patterns among your customers historically predict a good time to buy?
2. Paste the open roles — titles minimum, full descriptions ideally.
3. Who's your buyer at this company?
4. Roughly how big is the company? Ten open roles means different things at 50 versus 5,000 employees.

Once you have my answers, run the read.

How to use it

  1. 1

    Copy the prompt into Claude, ChatGPT, or any LLM.

  2. 2

    Pull roles from the company's own careers page or LinkedIn jobs tab — paste full descriptions where possible, since the bullet points hold the confessions.

  3. 3

    Answer question 1 with real patterns from your closed-won accounts if you know them.

  4. 4

    Weight the CONFESSIONS by grade: sequence on strong, hold plausible for discovery.

  5. 5

    Reference roles naturally in outreach ('saw you're bringing on a RevOps lead') — never quote a posting's bullet back at them.

Best practices

  • Full descriptions beat titles: the responsibilities section is where companies describe the mess the hire is meant to clean up.

  • A leadership vacancy in your buyer's function cuts both ways — deals stall without an owner, but the incoming leader is your best future champion. Time outreach for their arrival.

  • Cross-check posting age where shown: a director role open seven months signals either a search problem or a budget mirage.

  • To monitor at scale, wire a job-postings enrichment into Clay and re-run this read monthly on tier-one accounts — hiring pages turn over fast.

Example: what this looks like in practice

An AE at a marketing-automation platform pastes 14 open roles from a 300-person B2B software company. The read: five sales roles including a first-ever 'Head of SDR' (strong confession: building outbound from scratch), a 'Marketing Ops Manager' posting requiring 'experience migrating marketing automation platforms' (strong: they're switching tools), and HubSpot named in three postings. The model flags the migration bullet as the lead hook. Her opener references the ops role and asks what's driving the migration. The reply names the incumbent vendor and the renewal date — intel that usually takes three discovery calls to surface.

Best fit

Roles
SDR / BDRAccount ExecutiveRevOps
Company size
Startup (1–10)SMB (11–50)Mid-market (51–500)Enterprise (500+)
Audience
B2B
Industries
Any industry
Works with
Any LLM
Difficulty
Beginner

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Prompt FAQ

Frequently asked questions

More than any other free source: postings reveal growth areas, admitted problems (the responsibilities section describes the mess the hire will inherit), tech stack (required-experience bullets name tools), leadership gaps, and budget reality. A careers page is effectively a confession log — this prompt reads it systematically instead of skimming titles.

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